Greptile
Senior Software Engineer
Greptile, San Francisco, California, United States, 94199
Hi! We’re looking for a senior software engineer to join us at Greptile.
About Greptile
Greptile is building an AI expert on any codebase, which you can query using an API. Software teams use it to build custom internal AI dev tools like code reviewers and debugging assistants.Devs can point Greptile to any GitHub/Gitlab repo, Greptile indexes it (self-updates on new commits) and lets you query it in natural language. Greptile uses a codebase-optimized version of RAG which mimics how human developers navigate codebases, resulting in much higher performance than naive RAG.Company
We have raised $5.3M to date from investors like YC, Initialized Capital, SV Angel and Paul Graham, and have very little monthly burn. As of Aug 2024, we serve over 800 software teams and have high 6-figure annualized revenue. We’re a team of 6, based in San Francisco.Requirements:
Strong programming skills, especially in TS/JS.BS/MS degree in Computer ScienceWork authorization in the USAbility and willingness to relocate to work in-person in San Francisco.1+ years of full-time SWE experience.Preferred Qualifications
History of contributing to open source.Passionate about developer tooling.Ability to work relatively independently.Strong side projects, ideally using LLMs.Some DevOps experience, ideally with AWS.Some LLM-Ops experience, working with VectorDBs/LLMs.2+ years of full-time SWE experience.Tech Stack
Most of our codebase is in Typescript. Our backend infra is hosted on AWS, combination of ECS containers and Lambda functions + Postgres and DynamoDB for database. The frontend is NextJS.
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About Greptile
Greptile is building an AI expert on any codebase, which you can query using an API. Software teams use it to build custom internal AI dev tools like code reviewers and debugging assistants.Devs can point Greptile to any GitHub/Gitlab repo, Greptile indexes it (self-updates on new commits) and lets you query it in natural language. Greptile uses a codebase-optimized version of RAG which mimics how human developers navigate codebases, resulting in much higher performance than naive RAG.Company
We have raised $5.3M to date from investors like YC, Initialized Capital, SV Angel and Paul Graham, and have very little monthly burn. As of Aug 2024, we serve over 800 software teams and have high 6-figure annualized revenue. We’re a team of 6, based in San Francisco.Requirements:
Strong programming skills, especially in TS/JS.BS/MS degree in Computer ScienceWork authorization in the USAbility and willingness to relocate to work in-person in San Francisco.1+ years of full-time SWE experience.Preferred Qualifications
History of contributing to open source.Passionate about developer tooling.Ability to work relatively independently.Strong side projects, ideally using LLMs.Some DevOps experience, ideally with AWS.Some LLM-Ops experience, working with VectorDBs/LLMs.2+ years of full-time SWE experience.Tech Stack
Most of our codebase is in Typescript. Our backend infra is hosted on AWS, combination of ECS containers and Lambda functions + Postgres and DynamoDB for database. The frontend is NextJS.
#J-18808-Ljbffr